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Computer Science Degree Jobs in St George, UT (NOW HIRING)

beatBread

AI Engineer

Saint George, UT · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience. * 4-8 years of experience in AI engineering, data science, software engineering, software ...

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience. * 4-8 years of experience in AI engineering, data science, software engineering, software ...

TCN

Site Reliability Engineer

Saint George, UT · On-site

$53.75 - $71.50/hr

Bachelor's degree in computer science, information technology, or related field of study * Not less than three (3) years' experience in a Linux environment as a System Administrator, Site Reliability ...

TCN

Site Reliability Engineer

Saint George, UT · On-site

$50.75 - $67.50/hr

Bachelor's degree in computer science, information technology, or related field of study * Not less than three (3) years' experience in a Linux environment as a System Administrator, Site Reliability ...

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All JobsComputer Science Degree JobsComputer Science Degree Jobs in St. George, UT

Computer Science Degree information

See St George, UT salary details

$53.3K

$78.4K

$92.5K

How much do computer science degree jobs pay per year?

As of Aug 26, 2026, the average yearly pay for computer science degree in St. George, UT is $78,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $88,200.00 per year, depending on experience, location, and employer.

What is a computer science degree?

A Computer Science degree is an academic program that focuses on the study of computers, computational systems, and software. Students learn about programming, algorithms, data structures, computer hardware, software engineering, and theoretical concepts underpinning computing. Graduates are prepared for careers in software development, data analysis, cybersecurity, artificial intelligence, and many other technology-related fields. The degree can be earned at various levels, including associate, bachelor's, master's, and doctoral degrees.

What types of entry-level roles are typically available to recent graduates with a computer science degree, and how do these roles support career growth?

Recent graduates with a Computer Science degree often start in roles such as software developer, QA engineer, IT support specialist, or data analyst. These positions provide hands-on experience with real-world projects, exposure to collaborative team environments, and an opportunity to work with various technologies. Early career roles typically include mentorship and training, allowing new professionals to build foundational skills, specialize in areas of interest, and progress toward more advanced positions like software architect, project manager, or data scientist over time.

What are the key skills and qualifications needed to thrive with a computer science degree, and why are they important?

To thrive with a Computer Science degree, a strong grasp of programming languages, algorithms, and data structures is essential, typically supported by a bachelor's degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and certifications such as AWS Certified Developer or CompTIA Security+ are often beneficial. Problem-solving, analytical thinking, and effective teamwork are crucial soft skills that distinguish successful professionals. Mastering these skills enables individuals to efficiently design, implement, and maintain complex software solutions in diverse technical environments.

What is the difference between Computer Science Degree vs Software Developer?

AspectComputer Science DegreeSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically requires programming skills, experience, and sometimes certifications
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, or freelance projects
Industry UsageUsed as a qualification for various tech rolesPractical role focused on coding and software creation
Search & Comparison IntentUnderstanding educational requirements and career pathsJob qualifications and skills needed for software development

While a Computer Science Degree provides foundational knowledge and credentials, a Software Developer focuses on applying programming skills to build software. Many software developers have degrees in computer science, but practical experience and coding ability are equally important for the role.

What can you do with a computer science degree?

A computer science degree prepares individuals for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, enabling work in technology companies, finance, healthcare, and other industries that rely on computing solutions.

What jobs does a computer science degree get you?

A computer science degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or IT environments.

What are popular job titles related to Computer Science Degree jobs in St. George, UT?

For Computer Science Degree jobs in St. George, UT, the most frequently searched job titles are:

What cities near St. George, UT are hiring for Computer Science Degree jobs?

Cities near St. George, UT with the most Computer Science Degree job openings:

Computer Science Degree jobs near you
Infographic showing various Computer Science Degree job openings in St. George, UT as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $78,414 per year, or $37.7 per hour.

AI Engineer

beatBread

Saint George, UT • On-site

Full-time

Re-posted 28 days ago

Job description

About The Role

As an AI Engineer, you will design, build, and deploy sophisticated AI solutions that drive innovation and strategic impact across the organization. Collaborating closely with cross-functional teams, you will develop and optimize machine learning models, refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs. This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques.

Essential Duties and Responsibilities
  • Lead the end-to-end development, testing, and deployment of AI and ML models
  • Architect and maintain scalable data pipelines using Python, SQL, and AWS services
  • Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs
  • Build and manage containerized environments and workflows with Docker
  • Collaborate with data scientists and engineers to optimize model performance and reliability
  • Implement, monitor, and improve model training processes, including domain-specific custom training
  • Advise on and adopt new AI frameworks and best practices to enhance the organization's AI capabilities
  • Troubleshoot and resolve performance and security issues related to AI systems
Qualifications and Skills
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
  • 4-8 years of experience in AI engineering, data science, software engineering, software development, or related roles.
  • Proficiency in Python for data manipulation, scripting, and model development
  • Solid understanding of SQL for data querying, management, and optimization
  • Hands-on experience with Docker for containerization and deployment
  • Familiarity with ChatGPT, OpenAI APIs, and other large language models
  • Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation)
  • Experience working with AWS (e.g., S3, EC2, Lambda) for cloud-based solutions
  • Ability to collaborate effectively with cross-functional stakeholders
  • Proven track record of learning and adapting to emerging AI technologies and tools
Physical Requirements
  • Flexible to work additional hours as needed to meet project deadlines.
  • Ability to sit and work at a computer for extended periods.
  • Occasional lifting of equipment or materials may be required, but not exceeding 20 pounds.
  • Ability to communicate effectively in person, over the phone, and through digital channels.

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